June Young Chun

1.5k total citations
34 papers, 579 citations indexed

About

June Young Chun is a scholar working on Infectious Diseases, Epidemiology and Modeling and Simulation. According to data from OpenAlex, June Young Chun has authored 34 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Infectious Diseases, 8 papers in Epidemiology and 7 papers in Modeling and Simulation. Recurrent topics in June Young Chun's work include SARS-CoV-2 and COVID-19 Research (7 papers), COVID-19 epidemiological studies (7 papers) and COVID-19 Clinical Research Studies (3 papers). June Young Chun is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (7 papers), COVID-19 epidemiological studies (7 papers) and COVID-19 Clinical Research Studies (3 papers). June Young Chun collaborates with scholars based in South Korea, United States and China. June Young Chun's co-authors include Yongdai Kim, Myoung‐don Oh, Nagalakshmi Nadiminty, Allen C. Gao, Wei Lou, Christopher P. Evans, Nam Joong Kim, Pyoeng Gyun Choe, Hong Bin Kim and Raj Tummala and has published in prestigious journals such as Journal of Clinical Oncology, Emerging infectious diseases and PLoS Pathogens.

In The Last Decade

June Young Chun

33 papers receiving 562 citations

Peers

June Young Chun
Comparison fields: 5 of 92
  • Infectious Diseases 316
  • Molecular Biology 89
  • Modeling and Simulation 81
  • Complementary and alternative medicine 70
  • Epidemiology 67
Replace Thamir A. Alandijany with:
Thamir A. Alandijany Saudi Arabia
Vimal K. Maurya India
Prathanporn Kaewpreedee Hong Kong
Md Sorwer Alam Parvez Bangladesh
Swatantra Kumar India
Leila Mousavizadeh Iran
Mei-Shang Ho Taiwan
Jacqueline Cronin United States
Se‐Mi Kim South Korea
Thamir A. Alandijany Saudi Arabia View profile →
Citations per field, relative to June Young Chun
June Young Chun · 1×
Citations per year, relative to June Young Chun
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Countries citing papers authored by June Young Chun

Since Specialization
Citations

This map shows the geographic impact of June Young Chun's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by June Young Chun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites June Young Chun more than expected).

Fields of papers citing papers by June Young Chun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by June Young Chun. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by June Young Chun. The network helps show where June Young Chun may publish in the future.

Co-authorship network of co-authors of June Young Chun

This figure shows the co-authorship network connecting the top 25 collaborators of June Young Chun. A scholar is included among the top collaborators of June Young Chun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with June Young Chun. June Young Chun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 8
4 1
5 2
6 2
7 6
8 4
9 33
10 6
11 57
12 7
13 2
14 1
15 18
16 28
17 31
18 72
19 64
20 10

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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2026